Is there a "golden" feature set for static warning identification?
Junjie Wang, Song Wang, Qing Wang · 2018
Background: The most important challenge regarding the use of static analysis tools (e.g., FindBugs) is that there are a large number of warnings that are not acted on by developers. Many features have been proposed to build classification models for the automatic identification of actionable warnings. Through analyzing these features and related studies, we observe several limitations that make the users lack practical guides to apply these features.